tuga
Major Contributor
Interesting research on the benefits of noise:
Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs
K. Wiesenfeld, F. Moss - Nature 373 (1995)
Noise in dynamical systems is usually considered a nuisance. But in certain nonlinear systems, including electronic circuits and biological sensory apparatus, the presence of noise can in fact enhance the detection of weak signals. This phenomenon, called stochastic resonance, may find useful application in physical, technological and biomedical contexts.
Stochastic Resonance in Acoustic Emission
M. Friesel - Journal of Testing and Evaluation 2000
https://www.astm.org/jte12074j.html (€/£/$)
Stochastic resonance allows below-threshold signals to be detected because of the presence of favorable background noise. In this paper the author describes stochastic resonance and anti-resonance and presents some examples to illustrate how these affect the detection rates of acoustic emission signals or ultrasonic pulses in low signal-to-noise environments. The author introduces the signal fraction, a measure for quantifying the fraction of detected events that contain a signal that appears to have advantages over the signal-to-noise ratio for certain kinds of data, and a formalism for calculating the probability of signal detection when the noise is a time-dependent sinusoid.
Tuning in to Noise
A. Bulsara, L. Gammaitoni - Physics Today 1996
Two sweeping generalizations can be made about most natural systems: They are intrinsically nonlinear and they operate in noisy environments. Examples abound, ranging from weather systems to oscillating chemical reactions to the movements of an eel. The most complex example is arguably the human central nervous system, flooded as it is with the “noise” of modern life.
(source: https://www.stereophile.com/content/playback-designs-mps-5-sacdcd-player-measurements)
Stochastic resonance and the benefits of noise: from ice ages to crayfish and SQUIDs
K. Wiesenfeld, F. Moss - Nature 373 (1995)
Noise in dynamical systems is usually considered a nuisance. But in certain nonlinear systems, including electronic circuits and biological sensory apparatus, the presence of noise can in fact enhance the detection of weak signals. This phenomenon, called stochastic resonance, may find useful application in physical, technological and biomedical contexts.
Stochastic Resonance in Acoustic Emission
M. Friesel - Journal of Testing and Evaluation 2000
https://www.astm.org/jte12074j.html (€/£/$)
Stochastic resonance allows below-threshold signals to be detected because of the presence of favorable background noise. In this paper the author describes stochastic resonance and anti-resonance and presents some examples to illustrate how these affect the detection rates of acoustic emission signals or ultrasonic pulses in low signal-to-noise environments. The author introduces the signal fraction, a measure for quantifying the fraction of detected events that contain a signal that appears to have advantages over the signal-to-noise ratio for certain kinds of data, and a formalism for calculating the probability of signal detection when the noise is a time-dependent sinusoid.
Tuning in to Noise
A. Bulsara, L. Gammaitoni - Physics Today 1996
Two sweeping generalizations can be made about most natural systems: They are intrinsically nonlinear and they operate in noisy environments. Examples abound, ranging from weather systems to oscillating chemical reactions to the movements of an eel. The most complex example is arguably the human central nervous system, flooded as it is with the “noise” of modern life.
(source: https://www.stereophile.com/content/playback-designs-mps-5-sacdcd-player-measurements)